Inequality in Sub-Saharan Africa: New Data and New Insights from Anthropometric Estimates
By A. Moradi, Jorg Baten. 2005
150 citations recorded by the source corpus.
Reliable information on inequality within countries is highly scarce, especially for Less Developed Countries (LDCs). Using anthropometric measures, we extend the inequality database for Sub-Saharan Africa to no less than 28 countries over six five-year periods from 1950 to 1980, and to some 200 regions within those countries. In this process, we also test in depth the validity of objections against the derivation of inequality measures from height data. In a second step, we test the determinants of inequality within and between the 200 regions under study. Our set of explanatory variables includes protein supply, cash cropping, industrial structure, mineral resources, distance to the countries capital, urbanization, education, population density, and ethnic fractionalization. We find that monoculture cash cropping increases inequality, whereas diversified cash cropping has the opposite effect.
Subfields: Management, Monitoring, Policy and Law, Sociology and Political Science, Soil Science
View Paper: https://www.semanticscholar.org/paper/bf55e3e545e1b736f35cd7161626590e9c6c6994
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In Management, Monitoring, Policy and Law
In Sociology and Political Science
In Soil Science
Citations in the corpus
- Growing Tall but Unequal: New Findings and New Background Evidence on Anthropometric Welfare in 156 Countries, 1810–1989 (2012, background): “6 The following review of the literature is based on Moradi and Baten 2005.”
- Recent trends in inequality and poverty in developing countries (2013, background): “The EHII database confirms the high inequality levels of Sub-Saharan Africa and Latin America, but perhaps surprisingly, it records similar levels in South Asia and Middle East and North Africa (Gini of around 47).24 According to this dataset inequality is relatively lower in East Asia and Pacific a”